scholarly journals Cooperative Game Theory within Multi-Agent Systems for Systems Scheduling

Author(s):  
D. Messie ◽  
J.C. Oh
Author(s):  
Paul Harrenstein ◽  
Paolo Turrini ◽  
Michael Wooldridge

The existence of (Nash) equilibria with undesirable properties is a well-known problem in game theory, which has motivated much research directed at the possibility of mechanisms for modifying games in order to eliminate undesirable equilibria, or induce desirable ones. Taxation schemes are a well-known mechanism for modifying games in this way. In the multi-agent systems community, taxation mechanisms for incentive engineering have been studied in the context of Boolean games with costs. These are games in which each player assigns truth-values to a set of propositional variables she uniquely controls in pursuit of satisfying an individual propositional goal formula; different choices for the player are also associated with different costs. In such a game, each player prefers primarily to see the satisfaction of their goal, and secondarily, to minimise the cost of their choice, thereby giving rise to lexicographic preferences over goal-satisfaction and costs. Within this setting, where taxes operate on costs only, however, it may well happen that the elimination or introduction of equilibria can only be achieved at the cost of simultaneously introducing less desirable equilibria or eliminating more attractive ones. Although this framework has been studied extensively, the problem of precisely characterising the equilibria that may be induced or eliminated has remained open. In this paper we close this problem, giving a complete characterisation of those mechanisms that can induce a set of outcomes of the game to be exactly the set of Nash Equilibrium outcomes.


Author(s):  
Raymund J. Lin ◽  
Seng-Cho T. Chou

The theme of this chapter includes topics of matching, auction and negotiation. We have shown that the knowledge of game theory is very important when designing an agent-based matching or negotiation system. The problem of bounded rationality in multi¬-agent systems is also discussed; we put forward the mechanism design and heuristic methods as solutions. A real negotiation scenario is presented to demonstrate our proposed solutions. In addition, we discuss the future trends of the agent technology in e¬commerce system.


2019 ◽  
Vol 66 (6) ◽  
pp. 1068-1072 ◽  
Author(s):  
Chunyan Zhang ◽  
Qiaoyu Li ◽  
Yuying Zhu ◽  
Jianlei Zhang

Author(s):  
Asma Amraoui ◽  
Badr Benmammar

The authors found a large number of suggested works relating to spectrum access, those using Auctions, a large number of approaches use the Game theory, but those using Markov chains are fewer. However, some research has been done in this area using Multi Agent Systems (MAS).


Author(s):  
Ettore F. Bompard ◽  
Graziano Abrate ◽  
Roberto Napoli ◽  
Bo Wan

The benefit to end-users of electricity, mainly in terms of low prices, is strictly related to the interaction among the consumers themselves and retailers. The literature on retail competition has highlighted possible distortions in market outcomes due to unresponsive demand and boundedly rational consumers. Hence, a model appropriate to represent this aspect of the market is needed. The paper proposes a general model of the interaction among retailers and consumers in the electricity market based on the theory of multi-agent systems. The model incorporates different assumptions concerning the behavior of the players that corresponds to different levels of interaction in determining the market outcomes. The model is validated interpretively by the results provided in terms of Game Theory equilibrium. The results of an extensive set of simulations on a population of 1,000 consumers is presented and discussed.


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